Towards machine learning approaches for predicting the self-healing efficiency of materials

Research article (Computational Materials Science, 2019) · cited 35× · AI/ML
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Towards machine learning approaches for predicting the self-healing efficiency of materials

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Towards machine learning approaches for predicting the self-healing efficiency of materials is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Towards machine learning approaches for predicting the self-healing efficiency of materials. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-machine-learning-approaches-for-predicting-the-self-healing-efficiency-of-materials
MLA “Towards machine learning approaches for predicting the self-healing efficiency of materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-machine-learning-approaches-for-predicting-the-self-healing-efficiency-of-materials.
BibTeX @misc{4ortxyz_towards-machine-learning-approaches-for-predicting-the-self-healing-efficiency-of-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards machine learning approaches for predicting the self-healing efficiency of materials}}, year = {2026}, url = {https://4ort.xyz/entity/towards-machine-learning-approaches-for-predicting-the-self-healing-efficiency-of-materials}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards machine learning approaches for predicting the self-healing efficiency of materials — https://4ort.xyz/entity/towards-machine-learning-approaches-for-predicting-the-self-healing-efficiency-of-materials (retrieved 2026-05-24)

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